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A Genetic Algorithm-Based Intrusion Detection System
이한호,이덕,김희수,최종욱 한국지능정보시스템학회 2000 한국지능정보시스템학회 학술대회논문집 Vol.1 No.1
In this paper, a novel approach to intruder detection is introduced. The approach, based on the genetic algorithms, improved detection rate of the host system which has traditionally relied on known intruder patterns and host addresses. Rather than making judgments on whether the access is intrusion or not, the system can continuously monitor system with categorized security level. With the categorization, when the intruder attempts repeatedly to access the system, the security level is incrementally escalated. In the simulation of a simple intrusion, it was shown that the current approach improves robustness of the security system by enhancing detection capability and flexibility. The evolutionary approach to intruder detection enhances adaptability of the system.